AI on the Jetson Nano LESSON 27: Tracking Objects in OpenCV Using HSV Color Space

You guys can help me out over at Patreon, and that will help me keep my gear updated, and help me keep this quality content coming:

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In this video lesson we learn how to track on object in OpenCV based on color. We convert the image to the HSV color space and then set parameters to track on based on parameters we get from trackbars


OK, now this is the gear I am using for my Jetson Nano project shown in today's video. Lots of folks have expressed interest in this project, so I will do a big tutorial series on it. It is good if we use identical hardware for the project, so links below will take you to the gear I am using. Make sure to get the V2 picam, which is what I linked to. The earlier picams will not work. Also, you can use USB keyboard and mouse if you do not want to spend for the wireless ones below.

Jetson Nano
https://amzn.to/2Z4SGG4

You need a GOOD power supply:
https://amzn.to/2yWKrkF

You need a GOOD SD card:
https://amzn.to/2Ktf8nT

I love this cool Acrylic case with fan:
https://amzn.to/2H4ar1R

Wireless Keyboard and Mouse that works with Jetson Nano:
https://amzn.to/2YWVkxu

I like to run with minimum wires, so I am running this wifi card, which works very well. If your budget is tight just use an Ethernet cable, as all my lessons will work with just an ethernet cable.
https://amzn.to/2H26b2R

Finally, you can use either a Logitech C920 WEB cam or the Pi Cam. I am using both, but you need at least one camera working with the nano:
https://amzn.to/2H4dPd0
https://amzn.to/2KI5UTW


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#JetsonNano
#OpenCV
#Tutorial